Name Venue Year citations
A flexible class of dependence-aware multi-label loss functions. MLJ 2022 0
How to measure uncertainty in uncertainty sampling for active learning. MLJ 2022 0
TSK-Streams: learning TSK fuzzy systems for regression on data streams. DMKD 2021 0
AutoML for Multi-Label Classification: Overview and Empirical Evaluation. TPAMI 2021 3
Monocular Depth Estimation via Listwise Ranking Using the Plackett-Luce Model. CVPR 2021 1
Gradient-Based Label Binning in Multi-label Classification. ECML/PKDD 2021 1
Testification of Condorcet Winners in dueling bandits. UAI 2021 1
Efficient set-valued prediction in multi-class classification. DMKD 2021 10
Robust Regression for Monocular Depth Estimation. ACML 2021 0
On the Identifiability of Hierarchical Decision Models. KR 2021 0
Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning. TPAMI 2021 4
Preference-based Online Learning with Dueling Bandits: A Survey. JMLR 2021 30
Multilabel Classification with Partial Abstention: Bayes-Optimal Prediction under Label Independence. JAIR 2021 0
Single Player Monte-Carlo Tree Search Based on the Plackett-Luce Model. AAAI 2021 1
From Label Smoothing to Label Relaxation. AAAI 2021 7
Identification of the Generalized Condorcet Winner in Multi-dueling Bandits. NIPS/NeurIPS 2021 1
Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data. PAKDD 2021 3
On testing transitivity in online preference learning. MLJ 2021 0
Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods. MLJ 2021 143
Credal Self-Supervised Learning. NIPS/NeurIPS 2021 0
Neural Representation and Learning of Hierarchical 2-additive Choquet Integrals. IJCAI 2020 5
Introduction to the special issue of the ECML PKDD 2020 journal track. DMKD 2020 0
Learning Gradient Boosted Multi-label Classification Rules. ECML/PKDD 2020 14
A Neural Network-Based Driver Gaze Classification System with Vehicle Signals. IJCNN 2020 2
A Novel Higher-order Weisfeiler-Lehman Graph Convolution. ACML 2020 5
Preselection Bandits. ICML 2020 4
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis. ACML 2020 7
Reliable Multilabel Classification: Prediction with Partial Abstention. AAAI 2020 0
Introduction to the special issue of the ECML PKDD 2020 journal track. MLJ 2020 0
Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA. ACML 2019 0
A Reduction of Label Ranking to Multiclass Classification. ECML/PKDD 2019 2
Multi-target prediction: a unifying view on problems and methods. DMKD 2019 0
ML-Plan: Automated machine learning via hierarchical planning. MLJ 2018 108
On the effectiveness of heuristics for learning nested dichotomies: an empirical analysis. MLJ 2018 13
Learning to Rank Based on Analogical Reasoning. AAAI 2018 14
Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty. IJCAI 2018 15
Ranking Distributions based on Noisy Sorting. ICML 2018 1
Dyad ranking using Plackett-Luce models based on joint feature representations. MLJ 2018 0
Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening. ICML 2017 14
Learning TSK Fuzzy Rules from Data Streams. ECML/PKDD 2017 2
Consistency of Probabilistic Classifier Trees. ECML/PKDD 2016 17
Learning to Aggregate Using Uninorms. ECML/PKDD 2016 6
Extreme F-measure Maximization using Sparse Probability Estimates. ICML 2016 79
Predicting the Electricity Consumption of Buildings: An Improved CBR Approach. ICCBR 2016 2
Weighted Rank Correlation: A Flexible Approach Based on Fuzzy Order Relations. ECML/PKDD 2015 7
Case Base Maintenance in Preference-Based CBR. ICCBR 2015 5
Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach. NIPS/NeurIPS 2015 66
Online F-Measure Optimization. NIPS/NeurIPS 2015 29
Superset Learning Based on Generalized Loss Minimization. ECML/PKDD 2015 33
Qualitative Multi-Armed Bandits: A Quantile-Based Approach. ICML 2015 37
Dyad Ranking Using A Bilinear Plackett-Luce Model. ECML/PKDD 2015 0
PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences. AAAI 2014 21
Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm. MLJ 2014 28
The Choquet kernel for monotone data. ESANN 2014 2
Learning Solution Similarity in Preference-Based CBR. ICCBR 2014 10
Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows. ICML 2014 55
On the bayes-optimality of F-measure maximizers. JMLR 2014 95
Guest editors' introduction: special issue of the ECML/PKDD 2014 journal track. DMKD 2014 0
Guest Editors' introduction: special issue of the ECML/PKDD 2014 journal track. MLJ 2014 0
Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization. ICML 2013 88
Top-k Selection based on Adaptive Sampling of Noisy Preferences. ICML 2013 64
Learning to Rank Lexical Substitutions. EMNLP 2013 19
Preference-Based CBR: A Search-Based Problem Solving Framework. ICCBR 2013 8
Preference-Based CBR: General Ideas and Basic Principles. IJCAI 2013 4
Editorial: Preference learning and ranking. MLJ 2013 7
Learning monotone nonlinear models using the Choquet integral. MLJ 2012 82
Probability Estimation for Multi-class Classification Based on Label Ranking. ECML/PKDD 2012 5
On label dependence and loss minimization in multi-label classification. MLJ 2012 263
An Analysis of Chaining in Multi-Label Classification. ECAI 2012 50
Label Ranking with Partial Abstention based on Thresholded Probabilistic Models. NIPS/NeurIPS 2012 40
Consistent Multilabel Ranking through Univariate Losses. ICML 2012 30
Preference-based reinforcement learning: a formal framework and a policy iteration algorithm. MLJ 2012 99
An Exact Algorithm for F-Measure Maximization. NIPS/NeurIPS 2011 106
Preferences in AI: An overview. Artificial Intelligence 2011 192
Bipartite Ranking through Minimization of Univariate Loss. ICML 2011 74
Preference-Based CBR: First Steps toward a Methodological Framework. ICCBR 2011 20
Learning Monotone Nonlinear Models Using the Choquet Integral. ECML/PKDD 2011 28
Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning. ECML/PKDD 2011 40
Regret Analysis for Performance Metrics in Multi-Label Classification: The Case of Hamming and Subset Zero-One Loss. ECML/PKDD 2010 47
Label Ranking Methods based on the Plackett-Luce Model. ICML 2010 86
Predicting Partial Orders: Ranking with Abstention. ECML/PKDD 2010 57
Bayes Optimal Multilabel Classification via Probabilistic Classifier Chains. ICML 2010 432
Graded Multilabel Classification: The Ordinal Case. ICML 2010 44
FURIA: an algorithm for unordered fuzzy rule induction. DMKD 2009 348
Combining Instance-Based Learning and Logistic Regression for Multilabel Classification. ECML/PKDD 2009 224
Decision tree and instance-based learning for label ranking. ICML 2009 131
Binary Decomposition Methods for Multipartite Ranking. ECML/PKDD 2009 74
Combining instance-based learning and logistic regression for multilabel classification. MLJ 2009 0
A Critical Analysis of Variants of the AUC. ECML/PKDD 2008 1
Multilabel classification via calibrated label ranking. MLJ 2008 708
Label ranking by learning pairwise preferences. Artificial Intelligence 2008 507
A critical analysis of variants of the AUC. MLJ 2008 0
Label Ranking in Case-Based Reasoning. ICCBR 2007 10
An Efficient Algorithm for Instance-Based Learning on Data Streams. ICDM 2007 18
On Minimizing the Position Error in Label Ranking. ECML/PKDD 2007 15
On Pairwise Naive Bayes Classifiers. ECML/PKDD 2007 33
Case-Based Multilabel Ranking. IJCAI 2007 70
A Unified Model for Multilabel Classification and Ranking. ECAI 2006 121
Hierarchical Classification by Expected Utility Maximization. ICDM 2006 3
Case-Based Label Ranking. ECML/PKDD 2006 21
A systematic approach to the assessment of fuzzy association rules. DMKD 2006 0
Cho-k-NN: A Method for Combining Interacting Pieces of Evidence in Case-Based Learning. IJCAI 2005 11
Instance-Based Prediction with Guaranteed Confidence. ECAI 2004 5
Possibilistic instance-based learning. Artificial Intelligence 2003 34
Pairwise Preference Learning and Ranking. ECML/PKDD 2003 223
Possibilistic Induction in Decision-Tree Learning. ECML/PKDD 2002 32
Association Rules for Expressing Gradual Dependencies. ECML/PKDD 2002 81
A Fuzzy Approach to Flexible Case-based Querying: Methodology and Experimentation. KR 2002 13
On the Representation and Combination of Evidence in Instance-Based Learning. ECAI 2002 4
Implication-Based Fuzzy Association Rules. ECML/PKDD 2001 60
Focusing Search by Using Problem Solving Experience. ECAI 2000 5
Similarity-based Inference as Evitential Reasoning. ECAI 2000 0
Toward a Probabilistic Formalization of Case-Based Inference. IJCAI 1999 31
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